Prendre des risques, ça rapporte ? Conduites à risques et perception des risques chez des adolescents tout-venant

Risk taking and its association with substance use by adolescents are often studied among clinical populations. The behavior of non-clinical adolescent samples is less well-known. According to some scholars, the adoption of risk behaviors can be predicted by a function of perceptions of both benefits and risks of such behaviors. However, the literature is still controversial about their respective significance. In this study, a non-clinical sample of 221 adolescents, aged 14 to 20, completed two questionnaires: the RIPS-R to estimate risk taking behaviors as well as perception of the risks and benefits of such behaviors, and the DEP-ADO to measure substance use. Our results show a high annual prevalence of socially accepted risk behaviors (drinking alcohol, not studying for exams, smoking tobacco). However, socially repressed behaviors (brawling, vandalism) are very occasional and are associated with problematic substance use. Globally, engagement in risk behaviors is more closely linked with the perceptions of its benefits than the perception of its risks. Finally, limitations and implications of these results for research and prevention are provided. Les prises de risques et leur association avec la consommation de substances chez les adolescents ont souvent été étudiées auprès de populations cliniques. Le comportement des jeunes tout-venant est en revanche moins bien connu. Selon certains théoriciens, la participation à des conduites à risques peut être déterminée en fonction des perceptions de leurs bénéfices et dangers potentiels. Toutefois, la littérature ne s'accorde pas sur l'importance respective que ces perceptions revêtent. Dans cette étude, 221 adolescents tout-venant, âgés de 14 à 20 ans, ont complété deux questionnaires : le RIPS-R pour évaluer la prise de risques et leur perception en termes de risques et de bénéfices, et la DEP-ADO pour mesurer la consommation de substances. Les résultats mettent en évidence une prévalence annuelle élevée des comportements à risques socialement acceptables (boire de l'alcool, fumer du tabac). En revanche, les comportements réprimés socialement (bagarres, actes de vandalisme) s'avèrent très occasionnels et sont associés à la consommation problématique de substances. Globalement, c'est la perception des bénéfices qui est le plus fortement liée au fait d'adopter un comportement à risque. Finalement, les limites et les implications pratiques de ces résultats sont discutées. © 2010 Elsevier Masson SAS. Tous droits réservés.

Assessment of diesel exhaust particulate exposure and surface characteristics in association with levels of oxidative stress biomarkers

Exposure to PM10 and PM2.5 (particulate matter with aerodynamic diameter smaller than 10 μm and 2.5 μm, respectively) is associated with a range of adverse health effects, including cancer, pulmonary and cardiovascular diseases. Surface characteristics (chemical reactivity, surface area) are considered of prime importance to understand the mechanisms which lead to harmful effects. A hypothetical mechanism to explain these adverse effects is the ability of components (organics, metal ions) adsorbed on these particles to generate Reactive Oxygen Species (ROS), and thereby to cause oxidative stress in biological systems (Donaldson et al., 2003). ROS can attack almost any cellular structure, like DNA or cellular membrane, leading to the formation of a wide variety of degradation products which can be used as a biomarker of oxidative stress. The aim of the present research project is to test whether there is a correlation between the exposure to Diesel Exhaust Particulate (DEP) and the oxidative stress status. For that purpose, a survey has been conducted in real occupational situations where workers were exposed to DEP (bus depots). Different exposure variables have been considered: - particulate number, size distribution and surface area (SMPS); - particulate mass - PM2.5 and PM4 (gravimetry); - elemental and organic carbon (coulometry); - total adsorbed heavy metals - iron, copper, manganese (atomic adsorption); - surface functional groups present on aerosols (Knudsen flow reactor). (Demirdjian et al., 2005). Several biomarkers of oxidative stress (8-hydroxy-2'-deoxyguanosine and several aldehydes) have been determined either in urine or serum of volunteers. Results obtained during the sampling campaign in several bus depots indicated that the occupational exposure to particulates in these places was rather low (40-50 μg/m3 for PM4). Size distributions indicated that particles are within the nanometric range. Surface characteristics of sampled particles varied strongly, depending on the bus depot. They were usually characterized by high carbonyl and low acidic sites content. Among the different biomarkers which have been analyzed within the framework of this study, mean levels of 8- hydroxy-2'-deoxyguanosine and several aldehydes (hexanal, heptanal, octanal, nonanal) increased during two consecutive days of exposure for non-smokers. In order to bring some insight into the relation between the particulate characteristics and the formation of ROS by-products, biomarkers levels will be discussed in relation with exposure variables.

Assessment of diesel exhaust particulate exposure and surface characteristics in association with levels of oxidative stress biomarkers

Exposure to PM10 and PM2.5 (particulate matter with aerodynamic diameter smaller than 10 μm and 2.5 μm, respectively) is associated with a range of adverse health effects, including cancer, pulmonary and cardiovascular diseases. Surface characteristics (chemical reactivity, surface area) are considered of prime importance to understand the mechanisms which lead to harmful effects. A hypothetical mechanism to explain these adverse effects is the ability of components (organics, metal ions) adsorbed on these particles to generate Reactive Oxygen Species (ROS), and thereby to cause oxidative stress in biological systems (Donaldson et al., 2003). ROS can attack almost any cellular structure, like DNA or cellular membrane, leading to the formation of a wide variety of degradation products which can be used as a biomarker of oxidative stress. The aim of the present research project is to test whether there is a correlation between the exposure to Diesel Exhaust Particulate (DEP) and the oxidative stress status. For that purpose, a survey has been conducted in real occupational situations where workers were exposed to DEP (bus depots). Different exposure variables have been considered: - particulate number, size distribution and surface area (SMPS); - particulate mass - PM2.5 and PM4 (gravimetry); - elemental and organic carbon (coulometry); - total adsorbed heavy metals - iron, copper, manganese (atomic adsorption); - surface functional groups present on aerosols (Knudsen flow reactor). Several biomarkers of oxidative stress (8-hydroxy-2'-deoxyguanosine and several aldehydes) have been determined either in urine or serum of volunteers. Results obtained during the sampling campaign in several bus depots indicated that the occupational exposure to particulates in these places was rather low (40-50 μg/m3 for PM4). Bimodal size distributions were generally observed (5 μm and <1 μm). Surface characteristics of PM4 varied strongly, depending on the bus depot. They were usually characterized by high carbonyl and low acidic sites content. Among the different biomarkers which have been analyzed within the framework of this study, mean urinary levels of 8-hydroxy-2'-deoxyguanosine increased significantly (p<0.05) during two consecutive days of exposure for non-smoker workers. On the other hand, no statistically significant differences were observed for serum levels of hexanal, nonanal and 4- hydroxy-nonenal (p>0.05). Biomarkers levels will be compared to exposure variables to gain a better understanding of the relation between the particulate characteristics and the formation of ROS by-products. This project is financed by the Swiss State Secretariat for Education and Research. It is conducted within the framework of the COST Action 633 "Particulate Matter - Properties Related to Health Effects".